Amazon Bedrock AgentCoreEnterprise
AWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
AI Infrastructure comparison
Pricing, pros, cons, and ideal use cases — side by side.
AWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
Turns any website into clean, structured markdown or JSON for AI pipelines — scrape, crawl, map, and search with published per-credit pricing.
| Amazon Bedrock AgentCore | Firecrawl | |
|---|---|---|
| Pricing | EnterpriseConsumption-based AWS pricing across the AgentCore services, billed alongside the rest of your AWS spend. Model inference is billed separately through Bedrock or your chosen provider. | FreemiumFree 1,000 credits/month. Hobby $16/mo for 5,000. Standard $83/mo for 100,000 with 50 concurrent requests. Growth $333/mo for 500,000. Scale $599/mo for 1,000,000. Enterprise custom. Prices billed yearly. Scrape, crawl, map, and monitor cost 1 credit per page; search costs 2 credits per 10 results. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Enterprises already running on AWSPlatform teams standardizing an agent runtimeOrganizations needing session isolation and policy enforcementTeams moving agent prototypes into governed production | Teams building competitor and market monitoring workflowsLead enrichment and research pipelinesRAG ingestion from public web sourcesDevelopers replacing brittle in-house scrapers |
Firecrawl is the lighter-weight option (Freemium), while Amazon Bedrock AgentCore sits higher on the pricing ladder (Enterprise). Amazon Bedrock AgentCore is built around enterprises already running on aws; Firecrawl leans more toward teams building competitor and market monitoring workflows. Shortlist the one whose strengths line up with your biggest constraint.